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avoid unnecessary computations

apache/spark
Based on 5 comments
Other

Prevent performance degradation by avoiding unnecessary expensive operations such as premature execution, redundant iterations, and costly data conversions. Use lazy evaluation, short-circuiting, and efficient data handling patterns to optimize execution paths.

Performance Optimization Other

Reviewer Prompt

Prevent performance degradation by avoiding unnecessary expensive operations such as premature execution, redundant iterations, and costly data conversions. Use lazy evaluation, short-circuiting, and efficient data handling patterns to optimize execution paths.

Key strategies:

  • Use lazy val for expensive computations that may be accessed multiple times during plan transformations to avoid repeated evaluation
  • Implement short-circuiting in conditional logic to skip expensive calculations when conditions aren’t met
  • Avoid converting between data types unnecessarily, especially expensive operations like UTF8String ↔ String conversions
  • Prevent premature execution of child operations during plan analysis phases
  • Use single-pass iterations instead of multiple passes over collections

Example of lazy evaluation:

// Instead of:
val orderExpressions: Seq[SortOrder] = orderChildExpressions.zipWithIndex.map { ... }

// Use:
private lazy val orderExpressions: Seq[SortOrder] = orderChildExpressions.zipWithIndex.map { ... }

Example of short-circuiting:

// Instead of always computing both:
if (left.maxRows.isDefined && right.maxRows.isDefined) {
  val leftMaxRows = left.maxRows.get
  val rightMaxRows = right.maxRows.get
  // ...
}

// Use short-circuiting:
val leftMaxRowsOption = left.maxRows
val rightMaxRowsOption = if (leftMaxRowsOption.isDefined) right.maxRows else None

This approach reduces computational overhead, improves response times, and prevents unnecessary resource consumption during query planning and execution.

5
Comments Analyzed
Other
Primary Language
Performance Optimization
Category

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